![Complete Guide to SQL for Data Engineering: from Beginner to Advanced [Updated: 10/24/2025]](https://pixhost.icu/avaxhome/42/4272/427231f48fe94da2aa61c10b772912ea-5055900068144236634_medium.webp)
Complete Guide to SQL for Data Engineering: from Beginner to Advanced [Updated: 10/24/2025]
![Complete Guide to SQL for Data Engineering: from Beginner to Advanced [Updated: 10/24/2025]](https://pixhost.icu/avaxhome/42/4272/427231f48fe94da2aa61c10b772912ea-5055900068144236634.webp)
Complete Guide to SQL for Data Engineering: from Beginner to Advanced [Updated: 10/24/2025]
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 7h 11m | 802 MB
Instructor: Deepak Goyal
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 7h 11m | 802 MB
Instructor: Deepak Goyal
Are you looking to get up and running with SQL as a data engineer, but not sure where to begin? In this course, instructor Deepak Goyal provides a comprehensive overview of SQL specifically targeted at data engineers, from basic queries and analytic tasks to advanced functions and data management.Find out why SQL is one of the most frequently and widely used programming languages for data engineers. Explore fundamental skills in data manipulation, queries, functions, views and stored procedures, indexes and performance, database security, debugging, ETL, and more. The course concludes with a real-world final project based on insurance claims analysis.
This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time-all while using a tool that you'll likely encounter in the workplace. Check out the "Using GitHub Codespaces with this course" video to learn how to get started.
Learning objectives
- Analyze the daily responsibilities and key roles of a data engineer.
- Explain the importance of SQL in data cleaning and analytics for data engineers.
- Describe the ETL (Extract, Transform, Load) process and its significance in data engineering.
- Identify different types of databases and their uses in data engineering tasks.
- Demonstrate the installation and setup of PostgreSQL for SQL practice.
- Write SQL queries to retrieve and manipulate data from databases.
- Implement JOIN operations to combine data from multiple tables.
- Utilize indexing to optimize SQL query performance.
- Handle SQL syntax and logical errors effectively.
- Secure databases by managing users, roles, and permissions.
![Complete Guide to SQL for Data Engineering: from Beginner to Advanced [Updated: 10/24/2025]](https://pixhost.icu/avaxhome/42/4272/427231f48fe94da2aa61c10b772912ea-12257992507924366708_medium.webp)
Complete Guide to SQL for Data Engineering: from Beginner to Advanced [Updated: 10/24/2025]
![Complete Guide to SQL for Data Engineering: from Beginner to Advanced [Updated: 10/24/2025]](https://pixhost.icu/avaxhome/42/4272/427231f48fe94da2aa61c10b772912ea-12257992507924366708.webp)